What is the Abnormal Interpretation Rate (AIR) and how does it differ from recall rate?

Abnormal Interpretation Rate (AIR) and recall rate refer to the same metric — the percentage of screening mammograms assessed as BI-RADS® 0. In MQSA and audit contexts, the precise term is AIR. 'Recall rate' is commonly used in clinical conversation and lay publications to mean the same thing, though some sources use it loosely to include all returns for additional imaging from any cause. For audit purposes, AIR is calculated as the number of BI-RADS® 0 assessments divided by the total number of screening mammograms interpreted in the audit period, expressed as a percentage.

How is recall rate calculated?

Recall rate (AIR) = (Number of screening mammograms assessed BI-RADS® 0) ÷ (Total number of screening mammograms interpreted) × 100. For example, if a radiologist interprets 1,000 screening mammograms in a year and assigns BI-RADS® 0 to 80 of them, the recall rate for that physician is 8%. The calculation must be performed separately for each interpreting physician and for the facility as a whole. The denominator includes all screening mammograms interpreted during the period — not just those with abnormal findings.

What is the ACR benchmark for recall rate?

The American College of Radiology (ACR), citing data from the Breast Cancer Surveillance Consortium (BCSC), identifies a target recall rate of 5–12% for screening mammography. A rate below 5% may indicate under-calling — the radiologist is not recommending additional workup for findings that warrant it. A rate above 12% may indicate over-calling — the radiologist is recalling patients at a higher rate without a corresponding improvement in cancer detection. Both directions represent a performance concern that warrants review under MQSA audit requirements.

What does a high recall rate mean?

A recall rate above 12% (the upper ACR benchmark) suggests that the interpreting physician or facility may be recommending additional workup more frequently than warranted. This can result in patient anxiety, unnecessary additional imaging procedures, and benign biopsies without a proportional increase in cancer detection. High recall rate is one of the most common areas flagged during MQSA medical outcome audit reviews. Common contributors include: unfamiliarity with prior comparison images, inconsistent threshold for BI-RADS® 0 among multiple interpreting physicians, lack of same-day diagnostic capability, and high proportion of first-time screeners in the patient population.

What does a low recall rate mean?

A recall rate below 5% (the lower ACR benchmark) may indicate under-detection — the radiologist is not recommending additional workup for findings that may warrant it. A low recall rate is considered a more serious performance concern than a high recall rate because it may mean cancers are being missed. MQSA audit protocols treat findings outside either end of the benchmark range with equal seriousness, but a rate below the lower threshold with a correspondingly low cancer detection rate is one of the most significant red flags in a mammography quality review.

Is recall rate tracked per physician or per facility?

Both. MQSA requires that medical audit metrics — including recall rate — be calculated and tracked at the individual interpreting physician level and at the aggregate facility level. Each physician must be able to see how their personal recall rate compares to internal facility averages and to published national benchmarks. This per-physician tracking is central to the audit's purpose: identifying patterns that might not be visible at the facility level but are meaningful at the individual physician level, and ensuring accountability for performance that falls outside expected ranges.

How does same-day workup affect recall rate calculation?

Same-day diagnostic workup — when a facility performs immediate additional imaging on a screening patient during the same visit — creates a methodological complexity in recall rate calculation. If a patient receives a BI-RADS® 0 assessment from the initial screening read but the same-day workup is completed and results in a final BI-RADS® 1 or 2, the question is whether that patient should be counted as a 'recall.' Under MQSA audit methodology, the standard approach is to count only true recalls — patients who leave the facility and are called back — as BI-RADS® 0 events. Facilities with same-day workup capabilities often need to adjust their denominator and numerator methodology to avoid artificially deflating recall rate by completing workup that would otherwise generate a separate encounter.

How does recall rate relate to cancer detection rate?

Recall rate and cancer detection rate (CDR) should be interpreted together, not in isolation. A radiologist with a high recall rate and a proportionally high CDR is detecting more cancers by recalling more patients — a pattern that may or may not be acceptable depending on the degree of excess recalls. A radiologist with a high recall rate and a low CDR is recalling many patients without finding a proportional number of cancers — a pattern that suggests over-calling without clinical benefit. Conversely, a low recall rate with a low CDR may indicate under-detection. The relationship between recall rate and CDR is one of the most important diagnostic signals in a well-constructed mammography audit.

What happens when recall rate falls outside the benchmark range?

When an interpreting physician's recall rate falls outside the ACR benchmark range (below 5% or above 12%), MQSA requires the facility to take corrective action. The facility must document the finding, investigate potential contributing factors, implement a corrective action plan, and monitor results. The corrective action process and its documentation must be retained and be available for FDA inspection review. Common corrective actions include case review sessions with the interpreting physician, comparison of prior images, peer review of recalled cases, and structured educational interventions.

How does recall rate connect to PPV1?

PPV1 (Positive Predictive Value 1) measures the percentage of recall events (BI-RADS® 0 assessments) that ultimately result in a cancer diagnosis. Recall rate and PPV1 are directly related: if a radiologist has a high recall rate (recalling many patients) but a low PPV1 (few of those recalls leading to cancer), it suggests the recalls are generating a high volume of benign workup relative to cancer detection. PPV1 provides the cancer yield per recall event — essentially answering the question of whether the recalls are finding cancer at an acceptable rate.

How does Mammologix support recall rate tracking?

Mammologix tracks recall rate as part of full mammography medical outcome audit support. Our audit workflow captures all BI-RADS® 0 assessments, monitors whether recalled patients complete their additional workup, correlates recall events with final outcomes and pathology results, and calculates AIR at both the physician level and facility level. We provide benchmark comparisons against ACR/BCSC targets and flag performance outside expected ranges so the facility can respond before it becomes an inspection issue. Recall rate tracking is one of the core metrics in every Mammologix audit program.

Definitional Guide

What Is Recall Rate in Mammography?

Q: What is recall rate in mammography?

Recall rate in mammography is the percentage of screening mammograms that result in a recommendation for additional evaluation — most commonly additional imaging views, ultrasound, or both. A patient is 'recalled' when her screening mammogram receives a BI-RADS® 0 assessment, indicating that the study is incomplete and requires further workup before a final assessment can be made. Recall rate is one of the primary performance metrics used in mammography quality assurance and is tracked as part of the MQSA-required medical outcome audit.

The Abnormal Interpretation Rate (AIR) — defined, calculated, and benchmarked for the breast imaging professionals who track it every year.

MQSA MetricACR Benchmark: 5–12%Per-Physician TrackingAnnual Review Required

Recall Rate in Plain Language

Recall rate — formally called the Abnormal Interpretation Rate (AIR) — is the percentage of screening mammograms that result in a recommendation for additional imaging. When a radiologist interprets a screening mammogram and cannot reach a definitive conclusion without more information, they assign a BI-RADS® 0assessment and the patient is “recalled” for additional workup.

Recall rate matters because it sits at the intersection of two competing clinical pressures: the need to detect cancer early (which pushes toward recalling any ambiguous finding) and the need to avoid unnecessary patient anxiety and benign biopsies (which pushes toward recalling only high-suspicion findings). A well-calibrated recall rate reflects a radiologist who has found the right balance for their patient population.

Under MQSA, every accredited mammography facility must track recall rate per interpreting physician as part of the annual medical outcome audit — and must take corrective action when a physician’s rate falls outside the ACR’s published benchmark range.

5–12%

ACR Target Range

BI-RADS® 0

Recall Assessment

Annual

Audit Review

Per MD

Tracking Level

What Drives Recall Rate

Recall rate is influenced by both physician-level factors and facility-level operational factors.

Factors that can drive rate higher

Lack of comparison prior imaging
High proportion of first-time screeners
Inconsistent BI-RADS® 0 threshold across physician group
Limited same-day diagnostic workup capability
Low personal case volume (statistical instability)

Factors that can drive rate lower

Same-day workup that resolves findings before recall
Highly screened, stable patient population
Aggressive threshold setting below evidence-based norms
Under-calling findings that warrant additional workup
Calculation methodology that excludes eligible encounters

The Full Picture

Recall Rate Does Not Stand Alone

Recall rate should always be read alongside cancer detection rate (CDR) and PPV1. Interpreting these metrics together tells a far more complete story than any single number:

High recall rate + high CDR: recalling more, finding more — may be acceptable depending on degree
High recall rate + low CDR: recalling many patients without proportional cancer yield — most common audit concern
Low recall rate + high CDR: rare; efficient detection with few unnecessary recalls
Low recall rate + low CDR: under-detection — the most serious performance pattern

The formula that matters most: Recall rate ÷ CDR = how many recalls it takes to find one cancer.

A facility recalling 10% of patients and detecting 5 cancers per 1,000 is using recalls more efficiently than one recalling 10% and detecting 2 per 1,000. The number of recalls per cancer found is one of the most operationally meaningful ratios in breast imaging program management.

Recall Rate — Frequently Asked Questions

Detailed answers to the questions breast imaging professionals ask most often about recall rate, AIR calculation, benchmarks, and MQSA requirements.

BI-RADS® is a registered trademark of the American College of Radiology.

How Mammologix Helps

Recall Rate Tracking and Audit Support

Mammologix tracks recall rate (AIR) as part of full MQSA medical outcome audit support — per physician, per facility, benchmarked against ACR targets, with corrective action flagging built in. No spreadsheets, no manual assembly.

AIR Score CalculatorCalculate your Abnormal Interpretation Rate and compare it to ACR benchmarks instantly.Learn more →Medical Outcome Audit GuideComplete guide to the MQSA-required audit — metrics, benchmarks, methods, and compliance.Learn more →MammoTrackPatient tracking, follow-up workflow, and audit-ready outcome documentation.Learn more →MammoComplyMQSA compliance support, inspection readiness, and audit preparation.Learn more →

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About the Author

Richard “Rick” Lippert Jr.

ARRT · President & Founder, Mammologix · Breast Imaging Operations since 1995

A registered radiologic technologist and founder of Mammologix, Rick Lippert has spent more than 30 years in breast imaging operations — from clinical practice and hospital radiology administration to building specialized service platforms for imaging centers nationwide. His work spans mammography tracking, lay communication, FDA/MQSA-related support, medical outcome audit, and the operational systems that help facilities stay compliant and keep patients from falling through the cracks.

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